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Objective: To identify baseline factors associated with outcomes from an inpatient multidisciplinary pain management program (PMP) located in a bicultural area of Aotearoa New Zealand. Methods: A prospective cohort study was undertaken involving 164 people with chronic pain who attended the PMP. Demographic, clinical, and psychosocial measures were obtained at baseline, whereas clinical and psychosocial outcome measures were also obtained at program discharge and 3-month follow up (N = 100). Multivariate analyses were used to determine baseline demographic variables that were associated with outcomes at discharge and follow up. Results: Being male and working full-time were associated with poorer outcomes in select measures at discharge. At the 3-month follow up, Māori ethnicity, working full-time, being retired or unemployed, or having chronic widespread pain were associated with poorer outcomes for some measures, whereas those with rheumatoid arthritis had greater self-efficacy. Conclusions: Sex, ethnicity, employment status, and patient condition impact clinical outcomes from the program and in the time from discharge to follow up. Program content and/or delivery should be altered to promote more equitable outcomes for all patients in the long term. What is known about the topic? Multidisciplinary pain management programs (PMPs) are the best treatment for chronic pain, but not everyone benefits from such programs to the same extent. What does this paper add? Ethnicity, employment status, and pain condition are associated with PMP outcomes, but mainly in the long term. What are the implications for practitioners? Program content, delivery, and follow up should be adapted to facilitate equity in long-term outcomes. [ABSTRACT FROM AUTHOR]

Objectives: Aotearoa New Zealand has demonstrable maternal and perinatal health inequity. We examined the relationships between adverse outcomes in a total population sample of births and a range of social determinant variables representing barriers to equity. Methods: Using the Statistics New Zealand Integrated Data Infrastructure suite of linked administrative data sets, adverse maternal and perinatal outcomes (mortality and severe morbidity) were linked to socio-economic and health variables for 97% of births in New Zealand between 2003 and 2018 (~970,000 births). Variables included housing, economic, health, crime and family circumstances. Logistic regression examined the relationships between adverse outcomes and social determinants, adjusting for demographics (socio-economic deprivation, education, parity, age, rural/urban residence and ethnicity). Results: Māori (adjusted odds ratio=1.21, 95% confidence interval=1.18–1.23) and Asian women (adjusted odds ratio 1.39, 95% confidence interval=1.36–1.43) had poorer maternal or perinatal outcomes compared to New Zealand European/European women. High use of emergency department (adjusted odds ratio=2.68, 95% confidence interval=2.53–2.84), disability (adjusted odds ratio=1.98, 95% confidence interval=1.83–2.14) and lack of engagement with maternity care (adjusted odds ratio=1.89, 95% confidence interval=1.84–1.95) had the strongest relationship with poor outcomes. Conclusion: Maternal health inequity was strongly associated with a range of socio-economic and health determinants. While some of these factors can be targeted for interventions, the study highlights larger structural and systemic issues that affect maternal and perinatal health. [ABSTRACT FROM AUTHOR]